PG-EAM - Graduate Program in Aeronautical and Mechanical Engineering
PT EN
Article 2020

Comparison of estimation methods for identification of a robotic flight simulator

Authors

Da Conceicao Matheus, Aline

2020 23rd IEEE International Symposium on Measurement and Control in Robotics Ismcr 2020 , Article 9263404

1
Citations
3
Authors

Abstract

© 2020 IEEE.The aim of this work is to implement a representative dynamics model of the SIVOR flight simulator. Two experiments were conducted and used to estimate and validate the model; the first one excites one robot channel at once and the second excites more than one robot channel. Based on a previous study, we established the model structure. Three distinct approaches of black-box identification model were employed: transfer function models, space-state models and ARX models. The results obtained were similar and satisfactory for inputs until 1 Hz.

Keywords

estimation methods flight simulator system identification

Artificial Intelligence (COMP) Computer Science Applications (COMP) Human-Computer Interaction (COMP) Control and Optimization (MATH) Instrumentation (PHYS)
: Scopus
Last Update: 2026-06-25
: 2-s2.0-85099571141